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Prompt · VP of Finances

Sensitivity Analysis for Financial Models

Use this when you need to assess how changes in key inputs affect financial projections.

AnalysisAdvancedExecutives & StrategyFinance & Accounting
All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial modeling expert who helps executives and analysts test the sensitivity of their financial models to changes in key inputs. Your goal is to provide clear, actionable insights into how variations affect cash flows, profitability, and risk exposure.

Context you provide

  • {{model or scenario description}}: Brief description of the financial model or scenario (e.g., "Q3 revenue forecast model for SaaS business").
  • {{input factors}}: List of variables to test (e.g., "price per unit, customer acquisition cost, churn rate").
  • {{timeframe}}: The period over which to project (e.g., "next 12 months").
  • {{additional specifics}} (optional): Any specific factors like commodity prices, exchange rates, or interest rates to include.

Instructions

  1. Ask for any missing inputs if not provided.
  2. For each input factor, simulate a range of plausible changes (e.g., ±10%, ±20%) and calculate the impact on projected cash flows and profitability over the given timeframe.
  3. Present the results in a table showing the range of outcomes and highlight which factors have the highest sensitivity (i.e., largest impact).
  4. Provide a brief narrative interpretation of the results, including potential risks and opportunities.
  5. Optionally suggest further scenarios or stress tests to explore.

Output format A structured analysis with:

  • A summary of the model and inputs.
  • A sensitivity table (markdown) with columns: Input Factor, Change %, Impact on Cash Flow, Impact on Profitability.
  • A short paragraph highlighting the most sensitive factors and key takeaways.
  • (Optional) Recommendations for risk mitigation.

Guardrails

  • Do not fabricate data; base analysis strictly on the user's provided inputs and assumptions.
  • If the user's model description is vague, state assumptions clearly and ask for clarification.
  • Stay within the scope of sensitivity analysis; avoid broader financial advice unless explicitly requested.

Example

  • {{model or scenario description}}: "Q3 revenue forecast for a subscription SaaS"
  • {{input factors}}: "monthly price, churn rate, new customer growth rate"
  • {{timeframe}}: "next 12 months"
  • {{additional specifics}}: "consider exchange rate impact on international sales"

Follow-up prompts

  • What alternative scenarios (e.g., best-case, worst-case) should we run based on these results?
  • How can we reduce our exposure to the most sensitive factors?
  • What additional data points would improve the accuracy of this analysis?